Skip to main content

Vehicle Side Impact Model Optimization Based on Reliability

  • Conference paper
  • First Online:
Application of Intelligent Systems in Multi-modal Information Analytics (ICMMIA 2022)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 138))

Included in the following conference series:

  • 1032 Accesses

Abstract

In order to improve the reliability of vehicle side impact model, this paper will carry out relevant research. Firstly, the finite element model is established and verified, then the model optimization idea is proposed, and then the optimization is carried out according to the idea, and finally the optimized model is tested completely. The test results show that the optimized model is more reliable, and the vehicle side impact design based on this model can ensure the maximum safety.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. IvysidePark, Altoona: Using simulation to estimate vehicle emissions in response to urban sprawl within Geauga county, Ohio.  Ohio J. Sci. 109(3), 52–66 (2009)

    Google Scholar 

  2. Witzens, J., Baehr-Jones, T., Hochberg, M.: Design of transmission line driven slot waveguide Mach-Zehnder interferometers and application to analog optical links. Opt. Express 18(16), 16902 (2010)

    Article  Google Scholar 

  3. Piccinno, F., Hischier, R., Saba, A., et al.: Multi-perspective application selection:a method to identify sustainable applications for new materials using the example of cellulose nanofiber reinforced composites. J. Cleaner Prod. 112(JAN.20PT.1), 1199–1210 (2016)

    Article  Google Scholar 

  4. Shetty, S., Nilsson, L.: Multiobjective reliability-based and robust design optimisation for crashworthiness of a vehicle side impact. Int. J. Veh. Des. 67(4), 347 (2015)

    Article  Google Scholar 

  5. Wang, Q., Zhou, W., Feng, Y.T., Ma, G., Cheng, Y., et al.: An adaptive orthogonal improved interpolating moving least-square method and a new boundary element-free method. Appl. Math. Comput. 353, 347–370 (2019)

    MathSciNet  MATH  Google Scholar 

  6. Nocera, S., Maino, F., Cavallaro, F.: A heuristic method for determining CO2 efficiency in transportation planning. Eur. Transp. Res. Rev. 4(2), 91–106 (2012). https://doi.org/10.1007/s12544-012-0073-x

    Article  Google Scholar 

  7. Wijngaarden, B.V., Schene, A.H., Koeter, M., et al.: Caregiving in schizophrenia:development, internal consistency and reliability of the involvement evaluation questionaire-european version. EPSILON study 4. Br. J. Psychiatry 177(39), S21–S27 (2018)

    Google Scholar 

  8. Tavakkoli-Moghaddam, R., Safari, J., Sassani, F.: Reliability optimization of series-parallel systems with a choice of redundancy strategies using a genetic algorithm. Reliab. Eng. Syst. Saf. 93(4), 550–556 (2017)

    Article  Google Scholar 

  9. Lukezic, A., Vojir, T., Zajc, L.C., et al.: Discriminative correlation filter with channel and spatial reliability. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE (2017)

    Google Scholar 

  10. Wensing, M., Vleuten, C., Grol, R., et al.: The reliability of patients’ judgementes of care in general practice:how many questions and patients are needed. Qual. Health Care Qhc 6(2), 80 (2019)

    Article  Google Scholar 

Download references

Acknowledgement

The research is supported by: Open Project of Key Laboratory of Ministry of Public Security for Road Traffic Safety (018ZDSYSKFKT09).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xianhui Wang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Zheng, Q., Sun, X., Wang, X., Wu, M., Fu, T., Zhou, D. (2022). Vehicle Side Impact Model Optimization Based on Reliability. In: Sugumaran, V., Sreedevi, A.G., Xu , Z. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. ICMMIA 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 138. Springer, Cham. https://doi.org/10.1007/978-3-031-05484-6_89

Download citation

Publish with us

Policies and ethics